The phrase "auto cluster" is correct and usable in written English.
It can be used in contexts related to technology, data analysis, or machine learning, often referring to automatic grouping or categorization of data points.
Example: "The software utilizes an auto cluster feature to efficiently organize large datasets without manual intervention."
Alternatives: "automatic clustering" or "self-clustering".
An initial solution with six clusters was achieved using the auto-clustering algorithm.
Alternative solutions, other than the default auto-clustering option, were tried to disclose fewer natural groupings using a specific and fixed number of clusters.
Alternative solutions with a different number of clusters were tried to disclose natural groupings other than the default auto-clustering option of the software.
After initial auto-clustering, each SNP is edited to define three genotypes with the intent of maximizing call rate and minimizing possible error rate.
The non-hierarchical two-step cluster analysis was used to divide samples into n number of clusters based on gender, and job-related and professional perception variables (14-item questionnaire), using an auto-clustering algorithm.
In the next stage, the two-step cluster analysis was used to divide samples into n numbers of clusters based on the primary and secondary diagnoses using an auto-clustering algorithm to reach an initial clustering solution.
When it comes to deployment, SageMaker hosts the model in an auto-scaling cluster of Amazon EC2 instances that are spread across multiple availability zones to deliver high performance and high availability.
We used the two-step cluster algorithm that is implemented in SPSS with all variables treated as continuous, a distance measure based on likelihood ratio, and auto-clustering used to identify the optimal number of clusters in the analysis.
The auto-clustering algorithm combined 289 cases (89.8%) in this three-cluster solution and 33 (10.2%) were excluded or unclassified.
Then based on a set of predefined rules, it would auto configure the cluster to use the correct number of resources, fix itself and keep running.
